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, requiring visualizing, analysis and interpretation of experimental data. The research results shall be published in peer-reviewed scientific journals and presented at conferences. IMPORTANT: Please specify in
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of existing methods and procedures for use in the joint project Evaluation, analysis, and visualization of data Documentation of laboratory work Collaboration with other project partners and regular
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of existing methods and procedures for use in the joint project Evaluation, analysis, and visualization of data Documentation of laboratory work Collaboration with other project partners and regular
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Leibniz-Institut für Analytische Wissenschaften - ISAS - e.V. | Dortmund, Nordrhein Westfalen | Germany | about 2 months ago
of existing methods and procedures for use in the joint project Evaluation, analysis, and visualization of data Documentation of laboratory work Collaboration with other project partners and regular
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, the spatial architecture of the bone marrow as the hosting niche of long-lived plasma cells will be mapped using modern spatial analysis approaches and molecular biology analyses. The project will investigate
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will plan the experiments in close collaboration with the protein design team and other members of the lab and communicate the results to the wider team. Data analysis and visualization using Excel
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logic) Data analysis and signal processing (e.g. in Python / MATLAB) Literature research and preparation of short summaries or figures You do not need to already know all tools (COMSOL, Unity, etc.). You
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in their tissue context Development, optimization, and application of bioinformatic pipelines for data integration, analysis, and visualization of complex datasets Computational modeling of gene
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(e.g. RNAi, CRISPR/Cas9, small-molecules). In this context, we also develop new computational tools for automated analysis and data visualization. These include algorithms and software applications
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, including RAG systems and vector databases Familiarity with multiple database platforms Experience in data archiving and long-term preservation concepts Experience in data processing and data visualization